With the expanding array of brain imaging methods and analysis procedures, there is a growing need for tools to process and link neuroimaging data with clinical, behavioral, and genetic information. The Neuroinformatics Research Group (NRG) at Harvard builds tools to facilitate the integration, mining, and sharing of neuroimaging and associated data. Along with our collaborators at the NRG at Washington University in St. Louis, we have developed and support a number of open-source projects along these lines, including the Extensible Neuroimaging Archive Toolkit (XNAT) as well as the Open Access Structural Imaging Series (OASIS) public data sets. The NRG at Harvard is a collaborative effort between the Center for Brain Science and the Initiative for Innovative Computing at Harvard, and the Athinoula A. Martinos Center for Biomedical Imaging at the Massachusetts General Hospital. We are also members of the Bioinformatics Research Network (BIRN) and receive additional support from the Howard Hughes Medical Institute.

	Projects
	OASIS  XNAT  FIV  The Open Access Structural Imaging Series (OASIS) is a series of publicly available data sets consisting of high interest brain images and associated measures. The first set in the series includes 400 images obtained from healthy and demented individuals across the lifespan. Read more... The Extensible Neuroimaging Archive Toolkit (XNAT) layers neuroimaging customizations on top of the XDAT, including tailored web pages, online image viewing, scan validation, and workflow access. Read More... The Functional Image Viewer (FIV) is a Java-based tool for visualizing functional and structural neuroimaging data. It is based on the popular ImageJ image processing software. Read more...